Intelligent Transport Systems. from Research and Development to the Market Uptake: Third EAI International Conference, INTSYS 2019, Braga, Portugal, December 4-6 2019
Gespeichert in:
| 1. Verfasser: | |
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Cham
Springer International Publishing AG
2020
|
| Schriftenreihe: | Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering Ser.
v.310 |
| Schlagworte: | |
| Beschreibung: | Description based on publisher supplied metadata and other sources |
| Beschreibung: | 1 online resource (309 pages) |
| ISBN: | 9783030388225 |
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| 245 | 1 | 0 | |a Intelligent Transport Systems. from Research and Development to the Market Uptake |b Third EAI International Conference, INTSYS 2019, Braga, Portugal, December 4-6 2019 |
| 264 | 1 | |a Cham |b Springer International Publishing AG |c 2020 | |
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| 490 | 0 | |a Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering Ser. |v v.310 | |
| 500 | |a Description based on publisher supplied metadata and other sources | ||
| 505 | 8 | |a Intro -- Preface -- Organization -- Contents -- Modelling -- Design of a Route-Planner for Urban Public Transport, Promoting Social Inclusion -- Abstract -- 1 Introduction -- 2 Material and Methods -- 2.1 Scope -- 2.2 Methods -- 2.2.1 Requirement Elicitation -- 2.2.2 Interface Design -- 2.2.3 Usability Evaluation -- 3 Results -- 3.1 Interfaces -- 3.2 Guidelines -- 4 Conclusions -- Acknowledgement -- Appendix -- References -- Simulating a Three-Lane Roundabout Using SUMO -- 1 Introduction -- 2 Literature Review -- 3 Methodological Approach -- 3.1 Fundamentals of Roundabouts - Process Model -- 3.2 Experimental Scenario -- 3.3 Car Following-Model Calibration Setup -- 4 Implementation -- 5 Results and Discussion -- 5.1 Experiment 1 - Speed Analysis According to Maximum Speed Impositions -- 5.2 Experiment 2 - Calibration of the Krauss Model by Varying MinGap Parameter -- 5.3 Experiment 3 - Calibration of the Krauss Model by Varying Acceleration and MinGap Parameters -- 6 Conclusions -- References -- Directional Grid-Based Search for Simulation Metamodeling Using Active Learning -- 1 Introduction -- 2 Background -- 3 Approach -- 3.1 Gaussian Process -- 3.2 Directional Grid-Based Search -- 4 Experiments -- 4.1 EMS Simulation Model -- 4.2 Results -- 5 Conclusion and Future Work -- References -- A Generic Predictive Model for On-Street Parking Availability -- 1 Introduction -- 2 Training Dataset -- 2.1 On-Street Parking Occupancy Indicator -- 3 Amenities -- 4 Predictive Machine Learning Model -- 4.1 CatBoost -- 4.2 Random Forest Regression -- 5 Hourly Predictions for the Streets of Various Cities -- 6 Conclusion and Future Work -- References -- Optimization -- Identifying Relevant Transfer-Connections from Entry-Only Automatic Fare Collection Data: The Case Study of Porto -- 1 Introduction | |
| 505 | 8 | |a 2 Concepts: Transfer-Node, Transfer-Connection and Transfer-Event -- 2.1 Transfer-Event -- 2.2 Transfer-Connections and Transfer-Nodes -- 3 Methodology to Identify Relevant Transfer-Links from AFC Data -- 3.1 TCM Implementation -- 3.2 Identify Transfers -- 3.3 Selecting Relevant Transfer-Connection -- 4 Results -- 5 Conclusions -- References -- Optimising Supply Chain Logistics System Using Data Analytics Techniques -- 1 Introduction -- 2 Background Study -- 2.1 The Sustainable Global Supply Chain -- 2.2 Horizontal Collaborations -- 2.3 Pooling -- 2.4 Physical Internet -- 3 Methodology -- 3.1 Overview -- 3.2 Supply Chain Logistics Strategies -- 3.3 Data Visualisation -- 4 Results -- 4.1 Assessment of Supply Chain Logistic Strategies -- 4.2 Data Visualisation -- 5 Conclusions -- References -- Analyzing a Fleet Solution Using Scenarios -- Abstract -- 1 Introduction -- 2 Literature Review -- 2.1 Transportation and the Relevance of Customer Service -- 2.2 Factors Influencing Transportation Costs -- 2.3 On-Road Transportation -- 2.4 Route Planning -- 2.5 Insourcing Versus Outsourcing -- 2.6 Final Remarks -- 3 Methodological Framework -- 4 The Use Case -- 4.1 The Company -- 4.2 Demand and Costs -- 4.3 Scenario Development -- 4.4 Scenario Comparison and Discussion -- 5 Conclusions -- Acknowledgments -- References -- Optimize Capacity for a Uniform Waste Transportation Collection -- Abstract -- 1 Introduction -- 2 Literature Review -- 3 Approach Developed -- 4 Data Visualization -- 4.1 Visualization by Zone -- 4.2 Deposits and Collections -- 4.3 Collection Analysis -- 4.4 Data Correlation -- 4.5 Major Findings -- 5 Predictions -- 5.1 Data Preparation -- 5.2 Evaluate Algorithms -- 5.3 Prediction with Time Periods -- 6 Capacity-Frequency Models -- 6.1 Collection Once a Week -- 6.2 Collection Twice a Week -- 6.3 Prediction on Model -- 7 Major Findings | |
| 505 | 8 | |a 8 Conclusion -- References -- Tracking and Prediction -- Automatic Generation of Spider Maps for Providing Public Transports Information -- 1 Introduction -- 2 Maps for Providing Public Transports Information -- 3 Automatic Generation of Spider Maps -- 3.1 Problem Definition -- 3.2 Map Generation Algorithm -- 4 Prototype Development -- 4.1 Use Cases -- 4.2 Architecture -- 4.3 Data Model -- 5 Evaluation and Validation -- 5.1 Tests and Results -- 5.2 Limitations and Future Work -- 6 Conclusions -- References -- Public Transportation Prediction with Convolutional Neural Networks -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Simulation Scenario and Data Model -- 3.1 Simulation of a Real-Live Scenario -- 3.2 Data Model -- 4 Proposed CNN Architecture -- 5 Experimental Results -- 6 Conclusion and Perspectives -- Acknowledgment -- References -- Tourism Guidance Tracking and Safety Platform -- Abstract -- 1 Introduction -- 2 Context -- 2.1 Madeira Tourism -- 2.2 Tourism Carrying Capacity of Natural Tourist Attractions -- 2.3 Beacons -- 3 Architecture of GTS -- 4 Context Information and Beacons -- 5 Levadas App -- 6 Conclusions -- Acknowledgements -- App Guidance for Parking Occupation Prediction -- 1 Introduction -- 2 Literature Review -- 2.1 Feature Selection for Parking Prediction -- 2.2 Modelling for Parking Occupancy Prediction -- 3 Conceptual Model -- 3.1 Android Application -- 3.2 Complete Dataset -- 3.3 Parking Lot Dataset -- 3.4 Weather Dataset -- 3.5 Traffic Dataset -- 3.6 Events Dataset -- 3.7 Google Services -- 4 Development of the Predictive Model -- 4.1 Data Analysis and Processing -- 4.2 Algorithm Testing -- 5 Results Evaluation -- 6 Conclusions -- References -- Visualization -- Evaluation of SIMMARC: An Audiovisual System for the Detection of Near-Miss Accidents -- Abstract -- 1 Introduction -- 2 System Overview | |
| 505 | 8 | |a 2.1 Detection of Audio Events -- 2.2 Detection of Video Events -- 3 Evaluation -- 3.1 Data -- 3.2 Detection of Audio Events -- 3.3 Detection of Braking Actions -- 3.4 Detection of Relevant Situations -- 4 Conclusions and Future Work -- Acknowledgements -- References -- Assessing the YOLO Series Through Empirical Analysis on the KITTI Dataset for Autonomous Driving -- 1 Introduction -- 2 State of the Art -- 3 KITTI Dataset for Object Detection -- 4 ''You Only Look Once'' -- 4.1 Version 2 -- 4.2 Version 3 -- 5 Experiments -- 5.1 RGB -- 5.2 Grayscale -- 5.3 Version 2 vs Version 3 -- 6 Conclusions -- References -- Evaluation of Broadcast Storm Mitigation Techniques on Vehicular Networks Enabled by WAVE or NDN -- Abstract -- 1 Introduction -- 2 Background and Related Work -- 2.1 Communication Architecture for VANETs -- 2.2 Named Data Networking Architecture -- 2.3 Named Data Networking in VANETs -- 2.4 Broadcast Storm Mitigation Techniques -- 3 Evaluated Strategies to Mitigate Broadcast Storms in VANETs -- 4 Connected Ambulance Use-Case -- 4.1 Use-Case Simulation -- 5 Simulation Results -- 6 Analysis of the Results -- 7 Conclusions and Future Work -- Acknowledgement -- References -- Non-destructive Diagnostic Methods for Smart Road Infrastructure Evaluation -- Abstract -- 1 Introduction -- 2 Application of Approach of Non-destructive Diagnostics to Sustainable Pavement Management -- 2.1 Data Collection with Lynx SG1 -- 2.2 Data Collection with Dynamic Road Scanner -- 2.3 Data Collection with Georadar -- 2.4 Data Collection with FWD KUAB -- 3 Conclusion -- Acknowledgment -- References -- Sensing -- Towards Dynamic Monocular Visual Odometry Based on an Event Camera and IMU Sensor -- 1 Introduction -- 2 Motivation and Related Work -- 3 System Architecture of the Proposed Framework -- 3.1 Dynamic Event-Based Frame Generation | |
| 505 | 8 | |a 3.2 Feature Extraction and Tracking -- 4 Experimental Results -- 5 Conclusion -- References -- Tracking and Classification of Aerial Objects -- Abstract -- 1 Introduction -- 2 Related Work -- 2.1 Object Tracking -- 2.2 Object Classification -- 2.3 Contributions -- 3 Solution -- 3.1 Object Tracking -- 3.2 Object Classification -- 4 Methodology -- 4.1 Datasets -- 4.2 Configuration -- 4.3 Evaluation Method -- 5 Results -- 5.1 Tracking -- 5.2 Classification -- 6 Conclusions -- Acknowledgment -- References -- LiDAR SLAM Positioning Quality Evaluation in Urban Road Traffic -- 1 Introduction -- 2 Towards SLAM Navigation in Urban Traffic -- 3 Experimental Setup -- 3.1 Vehicle and Sensors -- 3.2 Sensor Data Processing -- 3.3 Testing Methodology -- 4 Driving Test -- 5 Data Evaluation -- 5.1 Whole Trajectory -- 5.2 Selected Data Snapshots -- 5.3 Different SLAM Settings -- 5.4 Other Datasets -- 6 Conclusion and Future Work -- References -- DORA: An Experimental Platform for Smart Cities -- Abstract -- 1 Introduction -- 2 DORA Platform -- 2.1 Outdoor Module -- 2.2 Indoor Module -- 2.3 Door-to-Door Journey Planner -- 3 DORA Platform Testing Overview -- 4 DORA Business Framework -- 5 Conclusion -- Acknowledgements -- References -- Author Index | |
| 650 | 4 | |a Intelligent transportation systems | |
| 700 | 1 | |a Ferreira, Joao Carlos |e Sonstige |4 oth | |
| 700 | 1 | |a Kocian, Alexander |e Sonstige |4 oth | |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |a Martins, Ana Lúcia |t Intelligent Transport Systems. from Research and Development to the Market Uptake |d Cham : Springer International Publishing AG,c2020 |z 9783030388218 |
| 912 | |a ZDB-30-PQE | ||
| 999 | |a oai:aleph.bib-bvb.de:BVB01-033077254 | ||
Datensatz im Suchindex
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| author | Martins, Ana Lúcia |
| author_facet | Martins, Ana Lúcia |
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| author_sort | Martins, Ana Lúcia |
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| bvnumber | BV047693261 |
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| contents | Intro -- Preface -- Organization -- Contents -- Modelling -- Design of a Route-Planner for Urban Public Transport, Promoting Social Inclusion -- Abstract -- 1 Introduction -- 2 Material and Methods -- 2.1 Scope -- 2.2 Methods -- 2.2.1 Requirement Elicitation -- 2.2.2 Interface Design -- 2.2.3 Usability Evaluation -- 3 Results -- 3.1 Interfaces -- 3.2 Guidelines -- 4 Conclusions -- Acknowledgement -- Appendix -- References -- Simulating a Three-Lane Roundabout Using SUMO -- 1 Introduction -- 2 Literature Review -- 3 Methodological Approach -- 3.1 Fundamentals of Roundabouts - Process Model -- 3.2 Experimental Scenario -- 3.3 Car Following-Model Calibration Setup -- 4 Implementation -- 5 Results and Discussion -- 5.1 Experiment 1 - Speed Analysis According to Maximum Speed Impositions -- 5.2 Experiment 2 - Calibration of the Krauss Model by Varying MinGap Parameter -- 5.3 Experiment 3 - Calibration of the Krauss Model by Varying Acceleration and MinGap Parameters -- 6 Conclusions -- References -- Directional Grid-Based Search for Simulation Metamodeling Using Active Learning -- 1 Introduction -- 2 Background -- 3 Approach -- 3.1 Gaussian Process -- 3.2 Directional Grid-Based Search -- 4 Experiments -- 4.1 EMS Simulation Model -- 4.2 Results -- 5 Conclusion and Future Work -- References -- A Generic Predictive Model for On-Street Parking Availability -- 1 Introduction -- 2 Training Dataset -- 2.1 On-Street Parking Occupancy Indicator -- 3 Amenities -- 4 Predictive Machine Learning Model -- 4.1 CatBoost -- 4.2 Random Forest Regression -- 5 Hourly Predictions for the Streets of Various Cities -- 6 Conclusion and Future Work -- References -- Optimization -- Identifying Relevant Transfer-Connections from Entry-Only Automatic Fare Collection Data: The Case Study of Porto -- 1 Introduction 2 Concepts: Transfer-Node, Transfer-Connection and Transfer-Event -- 2.1 Transfer-Event -- 2.2 Transfer-Connections and Transfer-Nodes -- 3 Methodology to Identify Relevant Transfer-Links from AFC Data -- 3.1 TCM Implementation -- 3.2 Identify Transfers -- 3.3 Selecting Relevant Transfer-Connection -- 4 Results -- 5 Conclusions -- References -- Optimising Supply Chain Logistics System Using Data Analytics Techniques -- 1 Introduction -- 2 Background Study -- 2.1 The Sustainable Global Supply Chain -- 2.2 Horizontal Collaborations -- 2.3 Pooling -- 2.4 Physical Internet -- 3 Methodology -- 3.1 Overview -- 3.2 Supply Chain Logistics Strategies -- 3.3 Data Visualisation -- 4 Results -- 4.1 Assessment of Supply Chain Logistic Strategies -- 4.2 Data Visualisation -- 5 Conclusions -- References -- Analyzing a Fleet Solution Using Scenarios -- Abstract -- 1 Introduction -- 2 Literature Review -- 2.1 Transportation and the Relevance of Customer Service -- 2.2 Factors Influencing Transportation Costs -- 2.3 On-Road Transportation -- 2.4 Route Planning -- 2.5 Insourcing Versus Outsourcing -- 2.6 Final Remarks -- 3 Methodological Framework -- 4 The Use Case -- 4.1 The Company -- 4.2 Demand and Costs -- 4.3 Scenario Development -- 4.4 Scenario Comparison and Discussion -- 5 Conclusions -- Acknowledgments -- References -- Optimize Capacity for a Uniform Waste Transportation Collection -- Abstract -- 1 Introduction -- 2 Literature Review -- 3 Approach Developed -- 4 Data Visualization -- 4.1 Visualization by Zone -- 4.2 Deposits and Collections -- 4.3 Collection Analysis -- 4.4 Data Correlation -- 4.5 Major Findings -- 5 Predictions -- 5.1 Data Preparation -- 5.2 Evaluate Algorithms -- 5.3 Prediction with Time Periods -- 6 Capacity-Frequency Models -- 6.1 Collection Once a Week -- 6.2 Collection Twice a Week -- 6.3 Prediction on Model -- 7 Major Findings 8 Conclusion -- References -- Tracking and Prediction -- Automatic Generation of Spider Maps for Providing Public Transports Information -- 1 Introduction -- 2 Maps for Providing Public Transports Information -- 3 Automatic Generation of Spider Maps -- 3.1 Problem Definition -- 3.2 Map Generation Algorithm -- 4 Prototype Development -- 4.1 Use Cases -- 4.2 Architecture -- 4.3 Data Model -- 5 Evaluation and Validation -- 5.1 Tests and Results -- 5.2 Limitations and Future Work -- 6 Conclusions -- References -- Public Transportation Prediction with Convolutional Neural Networks -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Simulation Scenario and Data Model -- 3.1 Simulation of a Real-Live Scenario -- 3.2 Data Model -- 4 Proposed CNN Architecture -- 5 Experimental Results -- 6 Conclusion and Perspectives -- Acknowledgment -- References -- Tourism Guidance Tracking and Safety Platform -- Abstract -- 1 Introduction -- 2 Context -- 2.1 Madeira Tourism -- 2.2 Tourism Carrying Capacity of Natural Tourist Attractions -- 2.3 Beacons -- 3 Architecture of GTS -- 4 Context Information and Beacons -- 5 Levadas App -- 6 Conclusions -- Acknowledgements -- App Guidance for Parking Occupation Prediction -- 1 Introduction -- 2 Literature Review -- 2.1 Feature Selection for Parking Prediction -- 2.2 Modelling for Parking Occupancy Prediction -- 3 Conceptual Model -- 3.1 Android Application -- 3.2 Complete Dataset -- 3.3 Parking Lot Dataset -- 3.4 Weather Dataset -- 3.5 Traffic Dataset -- 3.6 Events Dataset -- 3.7 Google Services -- 4 Development of the Predictive Model -- 4.1 Data Analysis and Processing -- 4.2 Algorithm Testing -- 5 Results Evaluation -- 6 Conclusions -- References -- Visualization -- Evaluation of SIMMARC: An Audiovisual System for the Detection of Near-Miss Accidents -- Abstract -- 1 Introduction -- 2 System Overview 2.1 Detection of Audio Events -- 2.2 Detection of Video Events -- 3 Evaluation -- 3.1 Data -- 3.2 Detection of Audio Events -- 3.3 Detection of Braking Actions -- 3.4 Detection of Relevant Situations -- 4 Conclusions and Future Work -- Acknowledgements -- References -- Assessing the YOLO Series Through Empirical Analysis on the KITTI Dataset for Autonomous Driving -- 1 Introduction -- 2 State of the Art -- 3 KITTI Dataset for Object Detection -- 4 ''You Only Look Once'' -- 4.1 Version 2 -- 4.2 Version 3 -- 5 Experiments -- 5.1 RGB -- 5.2 Grayscale -- 5.3 Version 2 vs Version 3 -- 6 Conclusions -- References -- Evaluation of Broadcast Storm Mitigation Techniques on Vehicular Networks Enabled by WAVE or NDN -- Abstract -- 1 Introduction -- 2 Background and Related Work -- 2.1 Communication Architecture for VANETs -- 2.2 Named Data Networking Architecture -- 2.3 Named Data Networking in VANETs -- 2.4 Broadcast Storm Mitigation Techniques -- 3 Evaluated Strategies to Mitigate Broadcast Storms in VANETs -- 4 Connected Ambulance Use-Case -- 4.1 Use-Case Simulation -- 5 Simulation Results -- 6 Analysis of the Results -- 7 Conclusions and Future Work -- Acknowledgement -- References -- Non-destructive Diagnostic Methods for Smart Road Infrastructure Evaluation -- Abstract -- 1 Introduction -- 2 Application of Approach of Non-destructive Diagnostics to Sustainable Pavement Management -- 2.1 Data Collection with Lynx SG1 -- 2.2 Data Collection with Dynamic Road Scanner -- 2.3 Data Collection with Georadar -- 2.4 Data Collection with FWD KUAB -- 3 Conclusion -- Acknowledgment -- References -- Sensing -- Towards Dynamic Monocular Visual Odometry Based on an Event Camera and IMU Sensor -- 1 Introduction -- 2 Motivation and Related Work -- 3 System Architecture of the Proposed Framework -- 3.1 Dynamic Event-Based Frame Generation 3.2 Feature Extraction and Tracking -- 4 Experimental Results -- 5 Conclusion -- References -- Tracking and Classification of Aerial Objects -- Abstract -- 1 Introduction -- 2 Related Work -- 2.1 Object Tracking -- 2.2 Object Classification -- 2.3 Contributions -- 3 Solution -- 3.1 Object Tracking -- 3.2 Object Classification -- 4 Methodology -- 4.1 Datasets -- 4.2 Configuration -- 4.3 Evaluation Method -- 5 Results -- 5.1 Tracking -- 5.2 Classification -- 6 Conclusions -- Acknowledgment -- References -- LiDAR SLAM Positioning Quality Evaluation in Urban Road Traffic -- 1 Introduction -- 2 Towards SLAM Navigation in Urban Traffic -- 3 Experimental Setup -- 3.1 Vehicle and Sensors -- 3.2 Sensor Data Processing -- 3.3 Testing Methodology -- 4 Driving Test -- 5 Data Evaluation -- 5.1 Whole Trajectory -- 5.2 Selected Data Snapshots -- 5.3 Different SLAM Settings -- 5.4 Other Datasets -- 6 Conclusion and Future Work -- References -- DORA: An Experimental Platform for Smart Cities -- Abstract -- 1 Introduction -- 2 DORA Platform -- 2.1 Outdoor Module -- 2.2 Indoor Module -- 2.3 Door-to-Door Journey Planner -- 3 DORA Platform Testing Overview -- 4 DORA Business Framework -- 5 Conclusion -- Acknowledgements -- References -- Author Index |
| ctrlnum | (ZDB-30-PQE)EBC6112041 (ZDB-30-PAD)EBC6112041 (ZDB-89-EBL)EBL6112041 (OCoLC)1156824674 (DE-599)BVBBV047693261 |
| dewey-full | 388.31200000000001 |
| dewey-hundreds | 300 - Social sciences |
| dewey-ones | 388 - Transportation |
| dewey-raw | 388.31200000000001 |
| dewey-search | 388.31200000000001 |
| dewey-sort | 3388.31200000000001 |
| dewey-tens | 380 - Commerce, communications, transportation |
| discipline | Wirtschaftswissenschaften |
| discipline_str_mv | Wirtschaftswissenschaften |
| format | Electronic eBook |
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the Krauss Model by Varying Acceleration and MinGap Parameters -- 6 Conclusions -- References -- Directional Grid-Based Search for Simulation Metamodeling Using Active Learning -- 1 Introduction -- 2 Background -- 3 Approach -- 3.1 Gaussian Process -- 3.2 Directional Grid-Based Search -- 4 Experiments -- 4.1 EMS Simulation Model -- 4.2 Results -- 5 Conclusion and Future Work -- References -- A Generic Predictive Model for On-Street Parking Availability -- 1 Introduction -- 2 Training Dataset -- 2.1 On-Street Parking Occupancy Indicator -- 3 Amenities -- 4 Predictive Machine Learning Model -- 4.1 CatBoost -- 4.2 Random Forest Regression -- 5 Hourly Predictions for the Streets of Various Cities -- 6 Conclusion and Future Work -- References -- Optimization -- Identifying Relevant Transfer-Connections from Entry-Only Automatic Fare Collection Data: The Case Study of Porto -- 1 Introduction</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">2 Concepts: 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2.3 On-Road Transportation -- 2.4 Route Planning -- 2.5 Insourcing Versus Outsourcing -- 2.6 Final Remarks -- 3 Methodological Framework -- 4 The Use Case -- 4.1 The Company -- 4.2 Demand and Costs -- 4.3 Scenario Development -- 4.4 Scenario Comparison and Discussion -- 5 Conclusions -- Acknowledgments -- References -- Optimize Capacity for a Uniform Waste Transportation Collection -- Abstract -- 1 Introduction -- 2 Literature Review -- 3 Approach Developed -- 4 Data Visualization -- 4.1 Visualization by Zone -- 4.2 Deposits and Collections -- 4.3 Collection Analysis -- 4.4 Data Correlation -- 4.5 Major Findings -- 5 Predictions -- 5.1 Data Preparation -- 5.2 Evaluate Algorithms -- 5.3 Prediction with Time Periods -- 6 Capacity-Frequency Models -- 6.1 Collection Once a Week -- 6.2 Collection Twice a Week -- 6.3 Prediction on Model -- 7 Major Findings</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">8 Conclusion -- References -- Tracking and Prediction -- Automatic Generation of Spider Maps for Providing Public Transports Information -- 1 Introduction -- 2 Maps for Providing Public Transports Information -- 3 Automatic Generation of Spider Maps -- 3.1 Problem Definition -- 3.2 Map Generation Algorithm -- 4 Prototype Development -- 4.1 Use Cases -- 4.2 Architecture -- 4.3 Data Model -- 5 Evaluation and Validation -- 5.1 Tests and Results -- 5.2 Limitations and Future Work -- 6 Conclusions -- References -- Public Transportation Prediction with Convolutional Neural Networks -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Simulation Scenario and Data Model -- 3.1 Simulation of a Real-Live Scenario -- 3.2 Data Model -- 4 Proposed CNN Architecture -- 5 Experimental Results -- 6 Conclusion and Perspectives -- Acknowledgment -- References -- Tourism Guidance Tracking and Safety Platform -- Abstract -- 1 Introduction -- 2 Context -- 2.1 Madeira Tourism -- 2.2 Tourism Carrying Capacity of Natural Tourist Attractions -- 2.3 Beacons -- 3 Architecture of GTS -- 4 Context Information and Beacons -- 5 Levadas App -- 6 Conclusions -- Acknowledgements -- App Guidance for Parking Occupation Prediction -- 1 Introduction -- 2 Literature Review -- 2.1 Feature Selection for Parking Prediction -- 2.2 Modelling for Parking Occupancy Prediction -- 3 Conceptual Model -- 3.1 Android Application -- 3.2 Complete Dataset -- 3.3 Parking Lot Dataset -- 3.4 Weather Dataset -- 3.5 Traffic Dataset -- 3.6 Events Dataset -- 3.7 Google Services -- 4 Development of the Predictive Model -- 4.1 Data Analysis and Processing -- 4.2 Algorithm Testing -- 5 Results Evaluation -- 6 Conclusions -- References -- Visualization -- Evaluation of SIMMARC: An Audiovisual System for the Detection of Near-Miss Accidents -- Abstract -- 1 Introduction -- 2 System Overview</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">2.1 Detection of Audio Events -- 2.2 Detection of Video Events -- 3 Evaluation -- 3.1 Data -- 3.2 Detection of Audio Events -- 3.3 Detection of Braking Actions -- 3.4 Detection of Relevant Situations -- 4 Conclusions and Future Work -- Acknowledgements -- References -- Assessing the YOLO Series Through Empirical Analysis on the KITTI Dataset for Autonomous Driving -- 1 Introduction -- 2 State of the Art -- 3 KITTI Dataset for Object Detection -- 4 ''You Only Look Once'' -- 4.1 Version 2 -- 4.2 Version 3 -- 5 Experiments -- 5.1 RGB -- 5.2 Grayscale -- 5.3 Version 2 vs Version 3 -- 6 Conclusions -- References -- Evaluation of Broadcast Storm Mitigation Techniques on Vehicular Networks Enabled by WAVE or NDN -- Abstract -- 1 Introduction -- 2 Background and Related Work -- 2.1 Communication Architecture for VANETs -- 2.2 Named Data Networking Architecture -- 2.3 Named Data Networking in VANETs -- 2.4 Broadcast Storm Mitigation Techniques -- 3 Evaluated Strategies to Mitigate Broadcast Storms in VANETs -- 4 Connected Ambulance Use-Case -- 4.1 Use-Case Simulation -- 5 Simulation Results -- 6 Analysis of the Results -- 7 Conclusions and Future Work -- Acknowledgement -- References -- Non-destructive Diagnostic Methods for Smart Road Infrastructure Evaluation -- Abstract -- 1 Introduction -- 2 Application of Approach of Non-destructive Diagnostics to Sustainable Pavement Management -- 2.1 Data Collection with Lynx SG1 -- 2.2 Data Collection with Dynamic Road Scanner -- 2.3 Data Collection with Georadar -- 2.4 Data Collection with FWD KUAB -- 3 Conclusion -- Acknowledgment -- References -- Sensing -- Towards Dynamic Monocular Visual Odometry Based on an Event Camera and IMU Sensor -- 1 Introduction -- 2 Motivation and Related Work -- 3 System Architecture of the Proposed Framework -- 3.1 Dynamic Event-Based Frame Generation</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">3.2 Feature Extraction and Tracking -- 4 Experimental Results -- 5 Conclusion -- References -- Tracking and Classification of Aerial Objects -- Abstract -- 1 Introduction -- 2 Related Work -- 2.1 Object Tracking -- 2.2 Object Classification -- 2.3 Contributions -- 3 Solution -- 3.1 Object Tracking -- 3.2 Object Classification -- 4 Methodology -- 4.1 Datasets -- 4.2 Configuration -- 4.3 Evaluation Method -- 5 Results -- 5.1 Tracking -- 5.2 Classification -- 6 Conclusions -- Acknowledgment -- References -- LiDAR SLAM Positioning Quality Evaluation in Urban Road Traffic -- 1 Introduction -- 2 Towards SLAM Navigation in Urban Traffic -- 3 Experimental Setup -- 3.1 Vehicle and Sensors -- 3.2 Sensor Data Processing -- 3.3 Testing Methodology -- 4 Driving Test -- 5 Data Evaluation -- 5.1 Whole Trajectory -- 5.2 Selected Data Snapshots -- 5.3 Different SLAM Settings -- 5.4 Other Datasets -- 6 Conclusion and Future Work -- References -- DORA: An Experimental Platform for Smart Cities -- Abstract -- 1 Introduction -- 2 DORA Platform -- 2.1 Outdoor Module -- 2.2 Indoor Module -- 2.3 Door-to-Door Journey Planner -- 3 DORA Platform Testing Overview -- 4 DORA Business Framework -- 5 Conclusion -- Acknowledgements -- References -- Author Index</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Intelligent transportation systems</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Ferreira, Joao Carlos</subfield><subfield code="e">Sonstige</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Kocian, Alexander</subfield><subfield code="e">Sonstige</subfield><subfield code="4">oth</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe</subfield><subfield code="a">Martins, Ana Lúcia</subfield><subfield code="t">Intelligent Transport Systems. from Research and Development to the Market Uptake</subfield><subfield code="d">Cham : Springer International Publishing AG,c2020</subfield><subfield code="z">9783030388218</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-PQE</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-033077254</subfield></datafield></record></collection> |
| id | DE-604.BV047693261 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T18:57:26Z |
| indexdate | 2024-07-10T09:19:20Z |
| institution | BVB |
| isbn | 9783030388225 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-033077254 |
| oclc_num | 1156824674 |
| open_access_boolean | |
| physical | 1 online resource (309 pages) |
| psigel | ZDB-30-PQE |
| publishDate | 2020 |
| publishDateSearch | 2020 |
| publishDateSort | 2020 |
| publisher | Springer International Publishing AG |
| record_format | marc |
| series2 | Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering Ser. |
| spelling | Martins, Ana Lúcia Verfasser aut Intelligent Transport Systems. from Research and Development to the Market Uptake Third EAI International Conference, INTSYS 2019, Braga, Portugal, December 4-6 2019 Cham Springer International Publishing AG 2020 ©2020 1 online resource (309 pages) txt rdacontent c rdamedia cr rdacarrier Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering Ser. v.310 Description based on publisher supplied metadata and other sources Intro -- Preface -- Organization -- Contents -- Modelling -- Design of a Route-Planner for Urban Public Transport, Promoting Social Inclusion -- Abstract -- 1 Introduction -- 2 Material and Methods -- 2.1 Scope -- 2.2 Methods -- 2.2.1 Requirement Elicitation -- 2.2.2 Interface Design -- 2.2.3 Usability Evaluation -- 3 Results -- 3.1 Interfaces -- 3.2 Guidelines -- 4 Conclusions -- Acknowledgement -- Appendix -- References -- Simulating a Three-Lane Roundabout Using SUMO -- 1 Introduction -- 2 Literature Review -- 3 Methodological Approach -- 3.1 Fundamentals of Roundabouts - Process Model -- 3.2 Experimental Scenario -- 3.3 Car Following-Model Calibration Setup -- 4 Implementation -- 5 Results and Discussion -- 5.1 Experiment 1 - Speed Analysis According to Maximum Speed Impositions -- 5.2 Experiment 2 - Calibration of the Krauss Model by Varying MinGap Parameter -- 5.3 Experiment 3 - Calibration of the Krauss Model by Varying Acceleration and MinGap Parameters -- 6 Conclusions -- References -- Directional Grid-Based Search for Simulation Metamodeling Using Active Learning -- 1 Introduction -- 2 Background -- 3 Approach -- 3.1 Gaussian Process -- 3.2 Directional Grid-Based Search -- 4 Experiments -- 4.1 EMS Simulation Model -- 4.2 Results -- 5 Conclusion and Future Work -- References -- A Generic Predictive Model for On-Street Parking Availability -- 1 Introduction -- 2 Training Dataset -- 2.1 On-Street Parking Occupancy Indicator -- 3 Amenities -- 4 Predictive Machine Learning Model -- 4.1 CatBoost -- 4.2 Random Forest Regression -- 5 Hourly Predictions for the Streets of Various Cities -- 6 Conclusion and Future Work -- References -- Optimization -- Identifying Relevant Transfer-Connections from Entry-Only Automatic Fare Collection Data: The Case Study of Porto -- 1 Introduction 2 Concepts: Transfer-Node, Transfer-Connection and Transfer-Event -- 2.1 Transfer-Event -- 2.2 Transfer-Connections and Transfer-Nodes -- 3 Methodology to Identify Relevant Transfer-Links from AFC Data -- 3.1 TCM Implementation -- 3.2 Identify Transfers -- 3.3 Selecting Relevant Transfer-Connection -- 4 Results -- 5 Conclusions -- References -- Optimising Supply Chain Logistics System Using Data Analytics Techniques -- 1 Introduction -- 2 Background Study -- 2.1 The Sustainable Global Supply Chain -- 2.2 Horizontal Collaborations -- 2.3 Pooling -- 2.4 Physical Internet -- 3 Methodology -- 3.1 Overview -- 3.2 Supply Chain Logistics Strategies -- 3.3 Data Visualisation -- 4 Results -- 4.1 Assessment of Supply Chain Logistic Strategies -- 4.2 Data Visualisation -- 5 Conclusions -- References -- Analyzing a Fleet Solution Using Scenarios -- Abstract -- 1 Introduction -- 2 Literature Review -- 2.1 Transportation and the Relevance of Customer Service -- 2.2 Factors Influencing Transportation Costs -- 2.3 On-Road Transportation -- 2.4 Route Planning -- 2.5 Insourcing Versus Outsourcing -- 2.6 Final Remarks -- 3 Methodological Framework -- 4 The Use Case -- 4.1 The Company -- 4.2 Demand and Costs -- 4.3 Scenario Development -- 4.4 Scenario Comparison and Discussion -- 5 Conclusions -- Acknowledgments -- References -- Optimize Capacity for a Uniform Waste Transportation Collection -- Abstract -- 1 Introduction -- 2 Literature Review -- 3 Approach Developed -- 4 Data Visualization -- 4.1 Visualization by Zone -- 4.2 Deposits and Collections -- 4.3 Collection Analysis -- 4.4 Data Correlation -- 4.5 Major Findings -- 5 Predictions -- 5.1 Data Preparation -- 5.2 Evaluate Algorithms -- 5.3 Prediction with Time Periods -- 6 Capacity-Frequency Models -- 6.1 Collection Once a Week -- 6.2 Collection Twice a Week -- 6.3 Prediction on Model -- 7 Major Findings 8 Conclusion -- References -- Tracking and Prediction -- Automatic Generation of Spider Maps for Providing Public Transports Information -- 1 Introduction -- 2 Maps for Providing Public Transports Information -- 3 Automatic Generation of Spider Maps -- 3.1 Problem Definition -- 3.2 Map Generation Algorithm -- 4 Prototype Development -- 4.1 Use Cases -- 4.2 Architecture -- 4.3 Data Model -- 5 Evaluation and Validation -- 5.1 Tests and Results -- 5.2 Limitations and Future Work -- 6 Conclusions -- References -- Public Transportation Prediction with Convolutional Neural Networks -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Simulation Scenario and Data Model -- 3.1 Simulation of a Real-Live Scenario -- 3.2 Data Model -- 4 Proposed CNN Architecture -- 5 Experimental Results -- 6 Conclusion and Perspectives -- Acknowledgment -- References -- Tourism Guidance Tracking and Safety Platform -- Abstract -- 1 Introduction -- 2 Context -- 2.1 Madeira Tourism -- 2.2 Tourism Carrying Capacity of Natural Tourist Attractions -- 2.3 Beacons -- 3 Architecture of GTS -- 4 Context Information and Beacons -- 5 Levadas App -- 6 Conclusions -- Acknowledgements -- App Guidance for Parking Occupation Prediction -- 1 Introduction -- 2 Literature Review -- 2.1 Feature Selection for Parking Prediction -- 2.2 Modelling for Parking Occupancy Prediction -- 3 Conceptual Model -- 3.1 Android Application -- 3.2 Complete Dataset -- 3.3 Parking Lot Dataset -- 3.4 Weather Dataset -- 3.5 Traffic Dataset -- 3.6 Events Dataset -- 3.7 Google Services -- 4 Development of the Predictive Model -- 4.1 Data Analysis and Processing -- 4.2 Algorithm Testing -- 5 Results Evaluation -- 6 Conclusions -- References -- Visualization -- Evaluation of SIMMARC: An Audiovisual System for the Detection of Near-Miss Accidents -- Abstract -- 1 Introduction -- 2 System Overview 2.1 Detection of Audio Events -- 2.2 Detection of Video Events -- 3 Evaluation -- 3.1 Data -- 3.2 Detection of Audio Events -- 3.3 Detection of Braking Actions -- 3.4 Detection of Relevant Situations -- 4 Conclusions and Future Work -- Acknowledgements -- References -- Assessing the YOLO Series Through Empirical Analysis on the KITTI Dataset for Autonomous Driving -- 1 Introduction -- 2 State of the Art -- 3 KITTI Dataset for Object Detection -- 4 ''You Only Look Once'' -- 4.1 Version 2 -- 4.2 Version 3 -- 5 Experiments -- 5.1 RGB -- 5.2 Grayscale -- 5.3 Version 2 vs Version 3 -- 6 Conclusions -- References -- Evaluation of Broadcast Storm Mitigation Techniques on Vehicular Networks Enabled by WAVE or NDN -- Abstract -- 1 Introduction -- 2 Background and Related Work -- 2.1 Communication Architecture for VANETs -- 2.2 Named Data Networking Architecture -- 2.3 Named Data Networking in VANETs -- 2.4 Broadcast Storm Mitigation Techniques -- 3 Evaluated Strategies to Mitigate Broadcast Storms in VANETs -- 4 Connected Ambulance Use-Case -- 4.1 Use-Case Simulation -- 5 Simulation Results -- 6 Analysis of the Results -- 7 Conclusions and Future Work -- Acknowledgement -- References -- Non-destructive Diagnostic Methods for Smart Road Infrastructure Evaluation -- Abstract -- 1 Introduction -- 2 Application of Approach of Non-destructive Diagnostics to Sustainable Pavement Management -- 2.1 Data Collection with Lynx SG1 -- 2.2 Data Collection with Dynamic Road Scanner -- 2.3 Data Collection with Georadar -- 2.4 Data Collection with FWD KUAB -- 3 Conclusion -- Acknowledgment -- References -- Sensing -- Towards Dynamic Monocular Visual Odometry Based on an Event Camera and IMU Sensor -- 1 Introduction -- 2 Motivation and Related Work -- 3 System Architecture of the Proposed Framework -- 3.1 Dynamic Event-Based Frame Generation 3.2 Feature Extraction and Tracking -- 4 Experimental Results -- 5 Conclusion -- References -- Tracking and Classification of Aerial Objects -- Abstract -- 1 Introduction -- 2 Related Work -- 2.1 Object Tracking -- 2.2 Object Classification -- 2.3 Contributions -- 3 Solution -- 3.1 Object Tracking -- 3.2 Object Classification -- 4 Methodology -- 4.1 Datasets -- 4.2 Configuration -- 4.3 Evaluation Method -- 5 Results -- 5.1 Tracking -- 5.2 Classification -- 6 Conclusions -- Acknowledgment -- References -- LiDAR SLAM Positioning Quality Evaluation in Urban Road Traffic -- 1 Introduction -- 2 Towards SLAM Navigation in Urban Traffic -- 3 Experimental Setup -- 3.1 Vehicle and Sensors -- 3.2 Sensor Data Processing -- 3.3 Testing Methodology -- 4 Driving Test -- 5 Data Evaluation -- 5.1 Whole Trajectory -- 5.2 Selected Data Snapshots -- 5.3 Different SLAM Settings -- 5.4 Other Datasets -- 6 Conclusion and Future Work -- References -- DORA: An Experimental Platform for Smart Cities -- Abstract -- 1 Introduction -- 2 DORA Platform -- 2.1 Outdoor Module -- 2.2 Indoor Module -- 2.3 Door-to-Door Journey Planner -- 3 DORA Platform Testing Overview -- 4 DORA Business Framework -- 5 Conclusion -- Acknowledgements -- References -- Author Index Intelligent transportation systems Ferreira, Joao Carlos Sonstige oth Kocian, Alexander Sonstige oth Erscheint auch als Druck-Ausgabe Martins, Ana Lúcia Intelligent Transport Systems. from Research and Development to the Market Uptake Cham : Springer International Publishing AG,c2020 9783030388218 |
| spellingShingle | Martins, Ana Lúcia Intelligent Transport Systems. from Research and Development to the Market Uptake Third EAI International Conference, INTSYS 2019, Braga, Portugal, December 4-6 2019 Intro -- Preface -- Organization -- Contents -- Modelling -- Design of a Route-Planner for Urban Public Transport, Promoting Social Inclusion -- Abstract -- 1 Introduction -- 2 Material and Methods -- 2.1 Scope -- 2.2 Methods -- 2.2.1 Requirement Elicitation -- 2.2.2 Interface Design -- 2.2.3 Usability Evaluation -- 3 Results -- 3.1 Interfaces -- 3.2 Guidelines -- 4 Conclusions -- Acknowledgement -- Appendix -- References -- Simulating a Three-Lane Roundabout Using SUMO -- 1 Introduction -- 2 Literature Review -- 3 Methodological Approach -- 3.1 Fundamentals of Roundabouts - Process Model -- 3.2 Experimental Scenario -- 3.3 Car Following-Model Calibration Setup -- 4 Implementation -- 5 Results and Discussion -- 5.1 Experiment 1 - Speed Analysis According to Maximum Speed Impositions -- 5.2 Experiment 2 - Calibration of the Krauss Model by Varying MinGap Parameter -- 5.3 Experiment 3 - Calibration of the Krauss Model by Varying Acceleration and MinGap Parameters -- 6 Conclusions -- References -- Directional Grid-Based Search for Simulation Metamodeling Using Active Learning -- 1 Introduction -- 2 Background -- 3 Approach -- 3.1 Gaussian Process -- 3.2 Directional Grid-Based Search -- 4 Experiments -- 4.1 EMS Simulation Model -- 4.2 Results -- 5 Conclusion and Future Work -- References -- A Generic Predictive Model for On-Street Parking Availability -- 1 Introduction -- 2 Training Dataset -- 2.1 On-Street Parking Occupancy Indicator -- 3 Amenities -- 4 Predictive Machine Learning Model -- 4.1 CatBoost -- 4.2 Random Forest Regression -- 5 Hourly Predictions for the Streets of Various Cities -- 6 Conclusion and Future Work -- References -- Optimization -- Identifying Relevant Transfer-Connections from Entry-Only Automatic Fare Collection Data: The Case Study of Porto -- 1 Introduction 2 Concepts: Transfer-Node, Transfer-Connection and Transfer-Event -- 2.1 Transfer-Event -- 2.2 Transfer-Connections and Transfer-Nodes -- 3 Methodology to Identify Relevant Transfer-Links from AFC Data -- 3.1 TCM Implementation -- 3.2 Identify Transfers -- 3.3 Selecting Relevant Transfer-Connection -- 4 Results -- 5 Conclusions -- References -- Optimising Supply Chain Logistics System Using Data Analytics Techniques -- 1 Introduction -- 2 Background Study -- 2.1 The Sustainable Global Supply Chain -- 2.2 Horizontal Collaborations -- 2.3 Pooling -- 2.4 Physical Internet -- 3 Methodology -- 3.1 Overview -- 3.2 Supply Chain Logistics Strategies -- 3.3 Data Visualisation -- 4 Results -- 4.1 Assessment of Supply Chain Logistic Strategies -- 4.2 Data Visualisation -- 5 Conclusions -- References -- Analyzing a Fleet Solution Using Scenarios -- Abstract -- 1 Introduction -- 2 Literature Review -- 2.1 Transportation and the Relevance of Customer Service -- 2.2 Factors Influencing Transportation Costs -- 2.3 On-Road Transportation -- 2.4 Route Planning -- 2.5 Insourcing Versus Outsourcing -- 2.6 Final Remarks -- 3 Methodological Framework -- 4 The Use Case -- 4.1 The Company -- 4.2 Demand and Costs -- 4.3 Scenario Development -- 4.4 Scenario Comparison and Discussion -- 5 Conclusions -- Acknowledgments -- References -- Optimize Capacity for a Uniform Waste Transportation Collection -- Abstract -- 1 Introduction -- 2 Literature Review -- 3 Approach Developed -- 4 Data Visualization -- 4.1 Visualization by Zone -- 4.2 Deposits and Collections -- 4.3 Collection Analysis -- 4.4 Data Correlation -- 4.5 Major Findings -- 5 Predictions -- 5.1 Data Preparation -- 5.2 Evaluate Algorithms -- 5.3 Prediction with Time Periods -- 6 Capacity-Frequency Models -- 6.1 Collection Once a Week -- 6.2 Collection Twice a Week -- 6.3 Prediction on Model -- 7 Major Findings 8 Conclusion -- References -- Tracking and Prediction -- Automatic Generation of Spider Maps for Providing Public Transports Information -- 1 Introduction -- 2 Maps for Providing Public Transports Information -- 3 Automatic Generation of Spider Maps -- 3.1 Problem Definition -- 3.2 Map Generation Algorithm -- 4 Prototype Development -- 4.1 Use Cases -- 4.2 Architecture -- 4.3 Data Model -- 5 Evaluation and Validation -- 5.1 Tests and Results -- 5.2 Limitations and Future Work -- 6 Conclusions -- References -- Public Transportation Prediction with Convolutional Neural Networks -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Simulation Scenario and Data Model -- 3.1 Simulation of a Real-Live Scenario -- 3.2 Data Model -- 4 Proposed CNN Architecture -- 5 Experimental Results -- 6 Conclusion and Perspectives -- Acknowledgment -- References -- Tourism Guidance Tracking and Safety Platform -- Abstract -- 1 Introduction -- 2 Context -- 2.1 Madeira Tourism -- 2.2 Tourism Carrying Capacity of Natural Tourist Attractions -- 2.3 Beacons -- 3 Architecture of GTS -- 4 Context Information and Beacons -- 5 Levadas App -- 6 Conclusions -- Acknowledgements -- App Guidance for Parking Occupation Prediction -- 1 Introduction -- 2 Literature Review -- 2.1 Feature Selection for Parking Prediction -- 2.2 Modelling for Parking Occupancy Prediction -- 3 Conceptual Model -- 3.1 Android Application -- 3.2 Complete Dataset -- 3.3 Parking Lot Dataset -- 3.4 Weather Dataset -- 3.5 Traffic Dataset -- 3.6 Events Dataset -- 3.7 Google Services -- 4 Development of the Predictive Model -- 4.1 Data Analysis and Processing -- 4.2 Algorithm Testing -- 5 Results Evaluation -- 6 Conclusions -- References -- Visualization -- Evaluation of SIMMARC: An Audiovisual System for the Detection of Near-Miss Accidents -- Abstract -- 1 Introduction -- 2 System Overview 2.1 Detection of Audio Events -- 2.2 Detection of Video Events -- 3 Evaluation -- 3.1 Data -- 3.2 Detection of Audio Events -- 3.3 Detection of Braking Actions -- 3.4 Detection of Relevant Situations -- 4 Conclusions and Future Work -- Acknowledgements -- References -- Assessing the YOLO Series Through Empirical Analysis on the KITTI Dataset for Autonomous Driving -- 1 Introduction -- 2 State of the Art -- 3 KITTI Dataset for Object Detection -- 4 ''You Only Look Once'' -- 4.1 Version 2 -- 4.2 Version 3 -- 5 Experiments -- 5.1 RGB -- 5.2 Grayscale -- 5.3 Version 2 vs Version 3 -- 6 Conclusions -- References -- Evaluation of Broadcast Storm Mitigation Techniques on Vehicular Networks Enabled by WAVE or NDN -- Abstract -- 1 Introduction -- 2 Background and Related Work -- 2.1 Communication Architecture for VANETs -- 2.2 Named Data Networking Architecture -- 2.3 Named Data Networking in VANETs -- 2.4 Broadcast Storm Mitigation Techniques -- 3 Evaluated Strategies to Mitigate Broadcast Storms in VANETs -- 4 Connected Ambulance Use-Case -- 4.1 Use-Case Simulation -- 5 Simulation Results -- 6 Analysis of the Results -- 7 Conclusions and Future Work -- Acknowledgement -- References -- Non-destructive Diagnostic Methods for Smart Road Infrastructure Evaluation -- Abstract -- 1 Introduction -- 2 Application of Approach of Non-destructive Diagnostics to Sustainable Pavement Management -- 2.1 Data Collection with Lynx SG1 -- 2.2 Data Collection with Dynamic Road Scanner -- 2.3 Data Collection with Georadar -- 2.4 Data Collection with FWD KUAB -- 3 Conclusion -- Acknowledgment -- References -- Sensing -- Towards Dynamic Monocular Visual Odometry Based on an Event Camera and IMU Sensor -- 1 Introduction -- 2 Motivation and Related Work -- 3 System Architecture of the Proposed Framework -- 3.1 Dynamic Event-Based Frame Generation 3.2 Feature Extraction and Tracking -- 4 Experimental Results -- 5 Conclusion -- References -- Tracking and Classification of Aerial Objects -- Abstract -- 1 Introduction -- 2 Related Work -- 2.1 Object Tracking -- 2.2 Object Classification -- 2.3 Contributions -- 3 Solution -- 3.1 Object Tracking -- 3.2 Object Classification -- 4 Methodology -- 4.1 Datasets -- 4.2 Configuration -- 4.3 Evaluation Method -- 5 Results -- 5.1 Tracking -- 5.2 Classification -- 6 Conclusions -- Acknowledgment -- References -- LiDAR SLAM Positioning Quality Evaluation in Urban Road Traffic -- 1 Introduction -- 2 Towards SLAM Navigation in Urban Traffic -- 3 Experimental Setup -- 3.1 Vehicle and Sensors -- 3.2 Sensor Data Processing -- 3.3 Testing Methodology -- 4 Driving Test -- 5 Data Evaluation -- 5.1 Whole Trajectory -- 5.2 Selected Data Snapshots -- 5.3 Different SLAM Settings -- 5.4 Other Datasets -- 6 Conclusion and Future Work -- References -- DORA: An Experimental Platform for Smart Cities -- Abstract -- 1 Introduction -- 2 DORA Platform -- 2.1 Outdoor Module -- 2.2 Indoor Module -- 2.3 Door-to-Door Journey Planner -- 3 DORA Platform Testing Overview -- 4 DORA Business Framework -- 5 Conclusion -- Acknowledgements -- References -- Author Index Intelligent transportation systems |
| title | Intelligent Transport Systems. from Research and Development to the Market Uptake Third EAI International Conference, INTSYS 2019, Braga, Portugal, December 4-6 2019 |
| title_auth | Intelligent Transport Systems. from Research and Development to the Market Uptake Third EAI International Conference, INTSYS 2019, Braga, Portugal, December 4-6 2019 |
| title_exact_search | Intelligent Transport Systems. from Research and Development to the Market Uptake Third EAI International Conference, INTSYS 2019, Braga, Portugal, December 4-6 2019 |
| title_exact_search_txtP | Intelligent Transport Systems. from Research and Development to the Market Uptake Third EAI International Conference, INTSYS 2019, Braga, Portugal, December 4-6 2019 |
| title_full | Intelligent Transport Systems. from Research and Development to the Market Uptake Third EAI International Conference, INTSYS 2019, Braga, Portugal, December 4-6 2019 |
| title_fullStr | Intelligent Transport Systems. from Research and Development to the Market Uptake Third EAI International Conference, INTSYS 2019, Braga, Portugal, December 4-6 2019 |
| title_full_unstemmed | Intelligent Transport Systems. from Research and Development to the Market Uptake Third EAI International Conference, INTSYS 2019, Braga, Portugal, December 4-6 2019 |
| title_short | Intelligent Transport Systems. from Research and Development to the Market Uptake |
| title_sort | intelligent transport systems from research and development to the market uptake third eai international conference intsys 2019 braga portugal december 4 6 2019 |
| title_sub | Third EAI International Conference, INTSYS 2019, Braga, Portugal, December 4-6 2019 |
| topic | Intelligent transportation systems |
| topic_facet | Intelligent transportation systems |
| work_keys_str_mv | AT martinsanalucia intelligenttransportsystemsfromresearchanddevelopmenttothemarketuptakethirdeaiinternationalconferenceintsys2019bragaportugaldecember462019 AT ferreirajoaocarlos intelligenttransportsystemsfromresearchanddevelopmenttothemarketuptakethirdeaiinternationalconferenceintsys2019bragaportugaldecember462019 AT kocianalexander intelligenttransportsystemsfromresearchanddevelopmenttothemarketuptakethirdeaiinternationalconferenceintsys2019bragaportugaldecember462019 |